AI Engineer
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Job Description
// About EVA.ai
Basically, EVA.ai is what you see ATM It’s an A to Z solution for searching and matching such great talent like you to the best jobs in the company, helping them with screening, interviews, etc.
- Our clients are as big and cool as the United Nations (yeah, that one) and growing.
- We’ve got an AI chatbot, AI Matching, AI Job Recommendation etc.
- We believe in agile, practice SCRUM, follow SOLID principles and love innovations.
- We don’t hire juniors, so we are quite smart and quite efficient
We are looking for an AI Engineer to design, develop, and deploy LLM-based AI solutions, including chatbots, and autonomous AI agents. This role requires hands-on experience in Generative AI, Large Language Models (LLMs), and AI-powered automation.
As an AI Engineer, you will be responsible for fine-tuning models, implementing Retrieval-Augmented Generation (RAG), integrating AI systems via APIs, and optimizing performance for production environments.
This position is fully remote, so you can work from anywhere.
Responsibilities
- Develop and fine-tune LLMs, AI Agents, and Generative AI models for real-world applications.
- Implement RAG (Retrieval-Augmented Generation), prompt engineering, and optimization techniques.
- Integrate AI models with APIs, databases, and business applications.
- Optimize AI model performance for accuracy, efficiency, and scalability.
- Stay updated on the latest AI advancements and experiment with state-of-the-art techniques.
- Write code. SOLID practices, all sorts of tests, and pair reviews.
- Talk to people. We’re quite flat, so depends on the service and feature you will be working with product analysts, customer success, designers, and obviously other developers.
- Participate in SCRUM. Especially retros.
- Education: Bachelor’s degree in Computer Science or a related field (or equivalent experience)
- Language: English
- Knowledge of LLMs, Generative AI (GPT, Llama, etc.)
- Proficiency in Python, TensorFlow, PyTorch, LangChain, OpenAI APIs
- Experience with fine-tuning and deploying LLMs on cloud platforms (AWS)
- Hands-on experience with Retrieval-Augmented Generation (RAG), vector databases
- Experience integrating AI models into applications via APIs or microservices.
- Experience designing and optimizing AI prompts for LLM-based applications
- Experience with AI Agents and autonomous workflows
- Knowledge of Conversational AI and chatbot development
// Compensation & Perks
- Competitive salary rate according to your level of experience (this vacancy is senior level).
- Fixed in local currency, USD or GBP
- Share options and bonuses available as you fit KPIs and stay with us for more than 1 year.
- You manage your time, it’s not required to be available all day.
- Learning courses/conferences sponsorship.
- You can work less than 40 hours a week.
You discuss your individual growth plan with a CTO and put some KPIs on it.
Horizontal Growth
Depending on your willingness, you can improve yourself:
- Any optional technologies mentioned above;
- English;
- Chatbots;
- Security;
- AI;
- Data Analysis;
- Product Analysis;
- Customer Facing Activities;
- Architecture
- Ability to become Lead Developer after some time and take responsibility for 1 or more microservices
- Product owner of 1 or more services
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Part-time
Job function
Job function
Engineering and Information TechnologyIndustries
Technology, Information and Internet
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